完成 tools 的输入，但是存在问题
This commit is contained in:
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b2b12c8911
commit
e095af2d8c
@ -1,12 +1,22 @@
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import { ToolItem } from "@/hook/type";
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import { ref } from "vue";
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export interface ChatMessage {
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export interface ChatMessage {
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role: 'user' | 'assistant' | 'system';
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role: 'user' | 'assistant' | 'system';
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content: string;
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content: string;
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}
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}
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// 新增状态和工具数据
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interface EnableToolItem {
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name: string;
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description: string;
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enabled: boolean;
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}
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export interface ChatSetting {
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export interface ChatSetting {
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modelIndex: number
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modelIndex: number
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systemPrompt: string
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systemPrompt: string
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enableTools: boolean
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enableTools: EnableToolItem[]
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temperature: number
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temperature: number
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enableWebSearch: boolean
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enableWebSearch: boolean
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contextLength: number
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contextLength: number
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@ -16,3 +26,25 @@ export interface ChatStorage {
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messages: ChatMessage[]
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messages: ChatMessage[]
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settings: ChatSetting
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settings: ChatSetting
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}
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}
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export const allTools = ref<ToolItem[]>([]);
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export function getToolSchema(enableTools: EnableToolItem[]) {
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const toolsSchema = [];
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for (let i = 0; i < enableTools.length; i++) {
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if (enableTools[i].enabled) {
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const tool = allTools.value[i];
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toolsSchema.push({
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name: tool.name,
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description: tool.description || "",
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parameters: {
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type: "function",
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properties: tool.inputSchema.properties,
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required: tool.inputSchema.required
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}
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});
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}
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}
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return toolsSchema;
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}
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@ -74,7 +74,7 @@ import { useI18n } from 'vue-i18n';
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import { useMessageBridge } from "@/api/message-bridge";
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import { useMessageBridge } from "@/api/message-bridge";
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import { ElMessage, ScrollbarInstance } from 'element-plus';
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import { ElMessage, ScrollbarInstance } from 'element-plus';
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import { tabs } from '../panel';
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import { tabs } from '../panel';
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import { ChatMessage, ChatStorage } from './chat';
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import { ChatMessage, ChatStorage, getToolSchema } from './chat';
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import Setting from './setting.vue';
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import Setting from './setting.vue';
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import { llmManager, llms } from '@/views/setting/llm';
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import { llmManager, llms } from '@/views/setting/llm';
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@ -196,6 +196,7 @@ const handleSend = () => {
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const apiKey = llms[llmManager.currentModelIndex].userToken;
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const apiKey = llms[llmManager.currentModelIndex].userToken;
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const model = llms[llmManager.currentModelIndex].userModel;
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const model = llms[llmManager.currentModelIndex].userModel;
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const temperature = tabStorage.settings.temperature;
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const temperature = tabStorage.settings.temperature;
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const tools = getToolSchema(tabStorage.settings.enableTools);
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const userMessages = [];
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const userMessages = [];
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if (tabStorage.settings.systemPrompt) {
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if (tabStorage.settings.systemPrompt) {
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@ -213,6 +214,7 @@ const handleSend = () => {
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apiKey,
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apiKey,
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model,
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model,
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temperature,
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temperature,
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tools,
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messages: userMessages,
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messages: userMessages,
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};
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};
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@ -224,7 +226,9 @@ const handleSend = () => {
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handleError(data.msg || '请求模型服务时发生错误');
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handleError(data.msg || '请求模型服务时发生错误');
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return;
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return;
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}
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}
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const { content } = data.msg;
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const { chunk } = data.msg;
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const content = chunk.choices[0]?.delta?.content || '';
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if (content) {
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if (content) {
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streamingContent.value += content;
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streamingContent.value += content;
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scrollToBottom(); // 内容更新时滚动到底部
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scrollToBottom(); // 内容更新时滚动到底部
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@ -17,7 +17,7 @@
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</el-tooltip>
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</el-tooltip>
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<el-tooltip content="工具使用" placement="top">
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<el-tooltip content="工具使用" placement="top">
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<div class="setting-button" :class="{ 'active': tabStorage.settings.enableTools }" size="small"
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<div class="setting-button" :class="{ 'active': toolActive }" size="small"
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@click="toggleTools">
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@click="toggleTools">
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<span class="iconfont icon-tool"></span>
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<span class="iconfont icon-tool"></span>
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</div>
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</div>
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@ -46,9 +46,7 @@
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<!-- 模型选择对话框 -->
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<!-- 模型选择对话框 -->
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<el-dialog v-model="showModelDialog" title="选择模型" width="400px">
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<el-dialog v-model="showModelDialog" title="选择模型" width="400px">
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<el-radio-group v-model="selectedModelIndex"
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<el-radio-group v-model="selectedModelIndex" @change="onRadioGroupChange">
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@change="onRadioGroupChange"
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>
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<el-radio v-for="(model, index) in availableModels" :key="index" :label="index">
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<el-radio v-for="(model, index) in availableModels" :key="index" :label="index">
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{{ model }}
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{{ model }}
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</el-radio>
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</el-radio>
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@ -99,15 +97,38 @@
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</template>
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</template>
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</el-dialog>
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</el-dialog>
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<!-- 修改后的工具使用对话框 -->
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<el-dialog v-model="showToolsDialog" title="工具管理" width="800px">
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<div class="tools-dialog-container">
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<el-scrollbar height="400px" class="tools-list">
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<div v-for="(tool, index) in tabStorage.settings.enableTools" :key="index" class="tool-item">
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<div class="tool-info">
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<div class="tool-name">{{ tool.name }}</div>
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<div v-if="tool.description" class="tool-description">{{ tool.description }}</div>
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</div>
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<el-switch v-model="tool.enabled"/>
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</div>
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</el-scrollbar>
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<el-scrollbar height="400px" class="schema-viewer">
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<div v-html="activeToolsSchemaHTML"></div>
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</el-scrollbar>
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</div>
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<template #footer>
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<el-button type="primary" @click="showToolsDialog = false">关闭</el-button>
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</template>
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</el-dialog>
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</div>
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</div>
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</template>
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</template>
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<script setup lang="ts">
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<script setup lang="ts">
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import { ref, computed, defineProps } from 'vue';
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import { ref, computed, defineProps, onMounted, onUnmounted } from 'vue';
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import { llmManager, llms } from '@/views/setting/llm';
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import { llmManager, llms } from '@/views/setting/llm';
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import { tabs } from '../panel';
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import { tabs } from '../panel';
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import { ChatSetting, ChatStorage } from './chat';
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import { allTools, ChatSetting, ChatStorage, getToolSchema } from './chat';
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import { useMessageBridge } from '@/api/message-bridge';
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import { CasualRestAPI, ToolItem, ToolsListResponse } from '@/hook/type';
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import { markdownToHtml } from './markdown';
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const props = defineProps({
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const props = defineProps({
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tabId: {
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tabId: {
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@ -128,7 +149,7 @@ const tabStorage = tab.storage as ChatStorage & { settings: ChatSetting };
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if (!tabStorage.settings) {
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if (!tabStorage.settings) {
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tabStorage.settings = {
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tabStorage.settings = {
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modelIndex: llmManager.currentModelIndex,
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modelIndex: llmManager.currentModelIndex,
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enableTools: true,
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enableTools: [],
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enableWebSearch: false,
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enableWebSearch: false,
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temperature: 0.7,
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temperature: 0.7,
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contextLength: 10,
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contextLength: 10,
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@ -147,10 +168,21 @@ const hasSystemPrompt = computed(() => {
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return !!tabStorage.settings.systemPrompt?.trim();
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return !!tabStorage.settings.systemPrompt?.trim();
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});
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});
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const showToolsDialog = ref(false);
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const toolActive = computed(() => {
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const availableTools = tabStorage.settings.enableTools.filter(tool => tool.enabled);
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return availableTools.length > 0;
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});
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// 修改 toggleTools 方法
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const toggleTools = () => {
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const toggleTools = () => {
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tabStorage.settings.enableTools = !tabStorage.settings.enableTools;
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showToolsDialog.value = true;
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};
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};
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const toggleWebSearch = () => {
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const toggleWebSearch = () => {
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tabStorage.settings.enableWebSearch = !tabStorage.settings.enableWebSearch;
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tabStorage.settings.enableWebSearch = !tabStorage.settings.enableWebSearch;
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};
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};
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@ -164,9 +196,46 @@ const onRadioGroupChange = () => {
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const currentModel = llms[llmManager.currentModelIndex].models[selectedModelIndex.value];
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const currentModel = llms[llmManager.currentModelIndex].models[selectedModelIndex.value];
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llms[llmManager.currentModelIndex].userModel = currentModel;
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llms[llmManager.currentModelIndex].userModel = currentModel;
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};
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};
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const bridge = useMessageBridge();
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let commandCancel: (() => void);
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onMounted(() => {
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commandCancel = bridge.addCommandListener('tools/list', (data: CasualRestAPI<ToolsListResponse>) => {
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allTools.value = data.msg.tools || [];
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tabStorage.settings.enableTools = [];
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for (const tool of allTools.value) {
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tabStorage.settings.enableTools.push({
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name: tool.name,
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description: tool.description,
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enabled: true
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});
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}
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}, { once: false });
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bridge.postMessage({
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command: 'tools/list'
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});
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});
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onUnmounted(() => {
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if (commandCancel) {
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commandCancel();
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}
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})
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// 新增计算属性获取激活工具的JSON Schema
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const activeToolsSchemaHTML = computed(() => {
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const toolsSchema = getToolSchema(tabStorage.settings.enableTools);
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const jsonString = JSON.stringify(toolsSchema, null, 2);
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return markdownToHtml(
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"```json\n" + jsonString + "\n```"
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);
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});
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</script>
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</script>
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<style scoped>
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<style>
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.chat-settings {
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.chat-settings {
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display: flex;
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display: flex;
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gap: 2px;
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gap: 2px;
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@ -234,4 +303,74 @@ const onRadioGroupChange = () => {
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font-size: 12px;
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font-size: 12px;
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color: var(--el-text-color-secondary);
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color: var(--el-text-color-secondary);
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}
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}
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/* 新增工具相关样式 */
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.tools-container {
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padding: 10px;
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}
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.tool-item {
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display: flex;
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justify-content: space-between;
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align-items: center;
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padding: 12px 0;
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border-bottom: 1px solid var(--el-border-color-light);
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}
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.tool-info {
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flex: 1;
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margin-right: 20px;
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}
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.tool-name {
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font-weight: 500;
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margin-bottom: 4px;
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}
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.tool-description {
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font-size: 12px;
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color: var(--el-text-color-secondary);
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}
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.tools-dialog-container .el-switch__core {
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border: 1px solid var(--main-color) !important;
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}
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.tools-dialog-container .el-switch .el-switch__action {
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background-color: var(--main-color);
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}
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.tools-dialog-container .el-switch.is-checked .el-switch__action {
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background-color: var(--sidebar);
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}
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/* 新增工具对话框样式 */
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.tools-dialog-container {
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display: flex;
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gap: 16px;
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}
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.tools-list {
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flex: 1;
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border-right: 1px solid var(--el-border-color);
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padding-right: 16px;
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}
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.schema-viewer {
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flex: 1;
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}
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.schema-viewer pre {
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margin: 0;
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border-radius: 4px;
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white-space: pre-wrap;
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word-wrap: break-word;
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}
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.schema-viewer code {
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font-family: var(--code-font-family);
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font-size: 12px;
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color: var(--el-text-color-primary);
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}
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</style>
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</style>
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@ -33,12 +33,13 @@ export interface CasualRestAPI<T> {
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}
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}
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// ==================== 响应接口定义 ====================
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// ==================== 响应接口定义 ====================
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export interface ToolsListResponse {
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export interface ToolItem {
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tools: Array<{
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name: string;
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name: string;
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description: string;
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description: string;
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inputSchema: InputSchema;
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inputSchema: InputSchema;
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}>;
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}
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export interface ToolsListResponse {
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tools: ToolItem[]
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}
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}
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export interface PromptTemplate {
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export interface PromptTemplate {
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@ -1,7 +1,60 @@
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## init
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```python
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from openai import OpenAI
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def send_messages(messages):
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response = client.chat.completions.create(
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model="deepseek-chat",
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messages=messages,
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tools=tools
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)
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return response.choices[0].message
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client = OpenAI(
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api_key="xxxxxxxx",
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base_url="https://api.deepseek.com",
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)
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tools = [
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{
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"type": "function",
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"function": {
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"name": "get_weather",
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"description": "Get weather of an location, the user shoud supply a location first",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "The city and state, e.g. San Francisco, CA",
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}
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},
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"required": ["location"]
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},
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}
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},
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]
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messages = [{"role": "user", "content": "How's the weather in Hangzhou?"}]
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message = send_messages(messages)
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print(f"User>\t {messages[0]['content']}")
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tool = message.tool_calls[0]
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messages.append(message)
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print(message)
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messages.append({"role": "tool", "tool_call_id": tool.id, "content": "24℃"})
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message = send_messages(messages)
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print(f"Model>\t {message.content}")
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```bash
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uv sync
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```
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```
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result:
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```
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User> How's the weather in Hangzhou?
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||||||
|
ChatCompletionMessage(content='', refusal=None, role='assistant', annotations=None, audio=None, function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_0_8777af62-631d-4af9-aefe-d984936397df', function=Function(arguments='{"location":"Hangzhou"}', name='get_weather'), type='function', index=0)])
|
||||||
|
Model> The current weather in Hangzhou is 24°C. Let me know if you'd like more details!
|
||||||
|
```
|
||||||
@ -14,7 +14,7 @@ export async function chatCompletionHandler(client: MCPClient | undefined, data:
|
|||||||
}
|
}
|
||||||
|
|
||||||
|
|
||||||
const { baseURL, apiKey, model, messages, temperature } = data;
|
const { baseURL, apiKey, model, messages, temperature, tools = [] } = data;
|
||||||
|
|
||||||
try {
|
try {
|
||||||
const client = new OpenAI({
|
const client = new OpenAI({
|
||||||
@ -26,6 +26,8 @@ export async function chatCompletionHandler(client: MCPClient | undefined, data:
|
|||||||
model,
|
model,
|
||||||
messages,
|
messages,
|
||||||
temperature,
|
temperature,
|
||||||
|
tools,
|
||||||
|
tool_choice: 'auto',
|
||||||
web_search_options: {},
|
web_search_options: {},
|
||||||
stream: true
|
stream: true
|
||||||
});
|
});
|
||||||
@ -53,13 +55,11 @@ export async function chatCompletionHandler(client: MCPClient | undefined, data:
|
|||||||
break;
|
break;
|
||||||
}
|
}
|
||||||
|
|
||||||
const content = chunk.choices[0]?.delta?.content || '';
|
if (chunk.choices) {
|
||||||
if (content) {
|
|
||||||
const chunkResult = {
|
const chunkResult = {
|
||||||
code: 200,
|
code: 200,
|
||||||
msg: {
|
msg: {
|
||||||
content,
|
chunk
|
||||||
finish_reason: chunk.choices[0]?.finish_reason || null
|
|
||||||
}
|
}
|
||||||
};
|
};
|
||||||
|
|
||||||
|
|||||||
@ -10,32 +10,37 @@
|
|||||||
"messages": [
|
"messages": [
|
||||||
{
|
{
|
||||||
"role": "user",
|
"role": "user",
|
||||||
"content": "你好，请问什么是 core dump"
|
"content": "test"
|
||||||
},
|
},
|
||||||
{
|
{
|
||||||
"role": "assistant",
|
"role": "assistant",
|
||||||
"content": "**Core Dump（核心转储）**是操作系统在程序异常终止（如崩溃或收到特定信号）时生成的一个文件，记录了程序崩溃时的内存状态、寄存器值、堆栈信息等关键数据，用于后续调试和分析问题。\n\n### 核心概念：\n1. **触发条件**：\n - 程序发生**段错误**（Segmentation Fault）、**总线错误**（Bus Error）等严重错误。\n - 收到特定信号（如 `SIGSEGV`、`SIGABRT`）。\n - 用户主动触发（如通过 `gcore` 命令）。\n\n2. **文件内容**：\n - 崩溃时的内存映像（包括堆、栈、全局变量等）。\n - 程序计数器（PC）、寄存器状态。\n - 动态链接库信息。\n\n3. **文件命名**：\n - 通常命名为 `core` 或 `core.<pid>`（如 `core.1234`）。\n\n---\n\n### 常见用途：\n- **调试崩溃问题**：通过调试器（如 `gdb`）分析 core dump，定位崩溃的代码位置。\n ```bash\n gdb /path/to/program /path/to/core\n ```\n- **事后分析**：即使程序已终止，仍可复现崩溃时的场景。\n\n---\n\n### 配置与启用：\n1. **检查系统限制**：\n ```bash\n ulimit -c # 查看 core 文件大小限制（0 表示禁用）\n ulimit -c unlimited # 临时解除限制\n ```\n2. **永久生效**：\n - 在 `/etc/security/limits.conf` 中添加：\n ```\n * soft core unlimited\n ```\n - 或通过 `sysctl` 配置存储路径：\n ```bash\n echo \"/var/coredumps/core.%e.%p\" > /proc/sys/kernel/core_pattern\n ```\n\n---\n\n### 注意事项：\n- **安全性**：Core dump 可能包含敏感信息（如密码），需妥善保管。\n- **磁盘空间**：大内存程序生成的 core 文件可能很大，需确保磁盘充足。\n- **容器环境**：某些容器默认禁用 core dump，需额外配置。\n\n---\n\n### 示例场景：\n若程序崩溃后生成 `core.1234`，用 `gdb` 分析：\n```bash\ngdb ./my_program core.1234\n(gdb) bt # 查看崩溃时的调用栈\n```\n\n通过分析，可快速定位到引发崩溃的代码行或函数。"
|
"content": "错误: OpenAI API error: 422 Failed to deserialize the JSON body into the target type: tools[0]: missing field `type` at line 31 column 5"
|
||||||
},
|
|
||||||
{
|
|
||||||
"role": "user",
|
|
||||||
"content": "python 的"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"role": "assistant",
|
|
||||||
"content": "在 Python 中，**Core Dump** 的概念与系统层面的核心转储类似，但 Python 作为一种高级语言，通常不直接生成传统的 core dump 文件（如 C/C++ 程序）。不过，Python 程序崩溃时仍可能通过以下方式提供类似调试信息：\n\n---\n\n### 1. **Python 程序崩溃的常见场景**\n - **段错误（Segmentation Fault）**：通常由底层 C 扩展（如 NumPy、Pandas 的 C 模块）引发。\n - **未捕获的异常**：如 `MemoryError`、`SystemError` 等。\n - **信号中断**：如 `SIGSEGV`（非法内存访问）。\n\n---\n\n### 2. **获取类似 Core Dump 的信息**\n#### **方法 1：使用 `faulthandler` 模块**\n Python 内置的 `faulthandler` 可以在程序崩溃时打印堆栈跟踪（类似 core dump 的简化版）：\n ```python\n import faulthandler\n faulthandler.enable() # 默认输出到 stderr\n # 或者在程序启动时通过环境变量启用：\n # PYTHONFAULTHANDLER=1 python your_script.py\n ```\n **效果**：当发生段错误时，会输出当前 Python 和 C 的调用栈。\n\n#### **方法 2：生成核心转储文件（需系统支持）**\n 如果 Python 解释器或 C 扩展崩溃，可以强制生成系统的 core dump：\n ```bash\n ulimit -c unlimited # 启用 core dump\n python your_script.py\n ```\n - 生成的 `core` 文件可用 `gdb` 分析：\n ```bash\n gdb /usr/bin/python core\n (gdb) bt # 查看调用栈\n ```\n\n#### **方法 3：使用 `pdb` 或 `traceback`**\n - 对 Python 层面的异常，通过 `try-except` 捕获并记录：\n ```python\n import traceback\n try:\n your_code()\n except Exception as e:\n with open(\"error.log\", \"w\") as f:\n traceback.print_exc(file=f) # 输出完整堆栈到文件\n ```\n\n---\n\n### 3. **调试 C 扩展崩溃**\n 如果崩溃来自 Python 的 C 扩展（如自定义模块）：\n - 用 `gdb` 直接调试 Python 进程：\n ```bash\n gdb --args python your_script.py\n (gdb) run\n ```\n - 或分析 core dump 文件（需编译扩展时带调试符号 `-g`）。\n\n---\n\n### 4. **容器/Kubernetes 环境**\n 若在容器中运行 Python：\n - 确保容器有权限生成 core dump（需挂载 `/proc/sys/kernel/core_pattern`）。\n - 示例 Docker 命令：\n ```bash\n docker run --ulimit core=-1 -v /tmp:/coredumps your_image\n ```\n\n---\n\n### 5. **注意事项**\n - **性能开销**：`faulthandler` 对性能有轻微影响，生产环境慎用。\n - **敏感信息**：Core dump 可能泄露内存中的数据，需限制访问权限。\n - **替代方案**：对于纯 Python 代码，优先用日志和异常处理而非 core dump。\n\n---\n\n### 示例：分析段错误\n假设一个 C 扩展崩溃导致 Python 段错误：\n```bash\n# 启用 core dump 后运行程序\nulimit -c unlimited\npython crashy_script.py # 生成 core 文件\n\n# 用 gdb 分析\ngdb /usr/bin/python core.<pid>\n(gdb) bt full # 查看完整调用栈\n```\n\n通过结合 Python 的 `faulthandler` 和系统工具，可以高效定位问题根源。"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"role": "user",
|
|
||||||
"content": "python 的生成器是如何实现的"
|
|
||||||
},
|
|
||||||
{
|
|
||||||
"role": "assistant",
|
|
||||||
"content": "Python 的**生成器（Generator）**是一种特殊的迭代器，通过延迟计算（惰性求值）动态生成值，而不是一次性生成所有数据。它的核心实现依赖于 **Python 解释器对函数执行状态的暂停与恢复**，以下是其底层机制和关键实现原理：\n\n---\n\n### 1. **生成器的基本实现**\n当一个函数包含 `yield` 关键字时，Python 会将其编译为**生成器函数**，调用时返回一个生成器对象（而非直接执行函数体）：\n```python\ndef my_generator():\n yield 1\n yield 2\n\ngen = my_generator() # 返回生成器对象，函数体未执行\nprint(next(gen)) # 输出 1，函数执行到第一个 yield 暂停\nprint(next(gen)) # 输出 2，从暂停处恢复执行到下一个 yield\n```\n\n---\n\n### 2. **底层实现原理**\n生成器的核心依赖以下 Python 内部机制：\n\n#### **（1）代码对象（Code Object）**\n- Python 在编译阶段会将生成器函数的字节码标记为 `GENERATOR` 类型，区别于普通函数。\n- 通过 `dis` 模块可查看字节码差异：\n ```python\n import dis\n dis.dis(my_generator)\n ```\n 输出中会看到 `YIELD_VALUE` 操作码，这是生成器的关键指令。\n\n#### **（2）帧对象（Frame Object）**\n- 每次调用生成器函数时，Python 会创建一个**独立的帧对象**（Frame），保存局部变量、执行位置（如 `yield` 的断点）等状态。\n- 生成器暂停时，帧对象会被保留；恢复时，从帧对象中加载状态继续执行。\n\n#### **（3）生成器对象（Generator Object）**\n- 生成器对象是 `PyGenObject`（CPython 实现中的 C 结构体），包含：\n - `gi_frame`：指向当前帧对象的指针。\n - `gi_code`：指向生成器函数的代码对象。\n - `gi_running`：标记生成器是否正在执行。\n\n---\n\n### 3. **关键行为分析**\n#### **（1）状态保存与恢复**\n- 当执行到 `yield` 时，Python 会：\n 1. 保存当前帧的所有状态（局部变量、指令指针等）。\n 2. 返回 `yield` 的值给调用者。\n 3. **暂停执行**，直到下一次调用 `next()` 或 `send()`。\n- 恢复时，从保存的帧状态继续执行。\n\n#### **（2）协程特性**\n生成器可通过 `send()`、`throw()`、`close()` 实现**协程**功能：\n```python\ndef coro():\n x = yield 1 # 接收外部 send 的值\n yield x + 2\n\nc = coro()\nprint(next(c)) # 输出 1\nprint(c.send(10)) # 输出 12（x=10）\n```\n\n---\n\n### 4. **CPython 源码层面的实现**\n在 CPython 中，生成器的核心逻辑位于：\n- **字节码解释器**（`Python/ceval.c`）处理 `YIELD_VALUE` 操作码。\n- **生成器对象**（`Include/genobject.h` 和 `Objects/genobject.c`）：\n ```c\n typedef struct {\n PyObject_HEAD\n PyFrameObject *gi_frame; // 执行帧\n PyObject *gi_code; // 代码对象\n PyObject *gi_weakreflist; // 弱引用列表\n int gi_running; // 是否在运行\n } PyGenObject;\n ```\n\n---\n\n### 5. **与普通迭代器的对比**\n| 特性 | 生成器 | 普通迭代器（如 `list`） |\n|--------------------|--------------------------------|-----------------------------|\n| 内存占用 | 低（逐项生成） | 高（需存储所有数据） |\n| 实现方式 | 函数 + `yield` | 类 + `__iter__`/`__next__` |\n| 状态保存 | 自动由帧对象管理 | 需手动维护状态（如索引） |\n| 延迟计算 | 支持 | 不支持 |\n\n---\n\n### 6. **生成器的应用场景**\n1. **处理大数据流**：逐行读取文件避免内存爆炸。\n ```python\n def read_large_file(file):\n while True:\n line = file.readline()\n if not line:\n break\n yield line\n ```\n2. **无限序列**：如斐波那契数列。\n ```python\n def fibonacci():\n a, b = 0, 1\n while True:\n yield a\n a, b = b, a + b\n ```\n3. **协程与异步编程**：作为早期 Python 协程的基础（现代异步已由 `async/await` 替代）。\n\n---\n\n### 7. **性能优化技巧**\n- **避免多次创建生成器**：重复调用生成器函数会创建新对象，如需复用，可转换为列表或缓存结果。\n- **组合生成器**：使用 `itertools.chain` 合并多个生成器：\n ```python\n import itertools\n gen = itertools.chain(gen1(), gen2())\n ```\n\n---\n\n### 总结\nPython 生成器的本质是**通过 `yield` 暂停函数执行并保存状态**，利用帧对象和字节码指令实现惰性求值。这种设计在内存效率和代码简洁性上具有显著优势，是 Python 迭代器协议的核心实现方式之一。"
|
|
||||||
}
|
}
|
||||||
],
|
],
|
||||||
"settings": {
|
"settings": {
|
||||||
"modelIndex": 0,
|
"modelIndex": 0,
|
||||||
"enableTools": true,
|
"enableTools": [
|
||||||
|
{
|
||||||
|
"name": "add",
|
||||||
|
"description": "对两个数字进行实数域的加法",
|
||||||
|
"enabled": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "multiply",
|
||||||
|
"description": "对两个数字进行实数域的乘法运算",
|
||||||
|
"enabled": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "is_even",
|
||||||
|
"description": "判断一个整数是否为偶数",
|
||||||
|
"enabled": true
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"name": "capitalize",
|
||||||
|
"description": "将字符串首字母大写",
|
||||||
|
"enabled": true
|
||||||
|
}
|
||||||
|
],
|
||||||
"enableWebSearch": false,
|
"enableWebSearch": false,
|
||||||
"temperature": 0.7,
|
"temperature": 0.7,
|
||||||
"contextLength": 10,
|
"contextLength": 10,
|
||||||
|
|||||||
Loading…
x
Reference in New Issue
Block a user